Best Computer-assisted Physician Documentation Products

AI to review all patient data, ensure diagnoses are not missed, and automating note-writing.

Regard uses proprietary algorithms to automatically diagnose and document conditions on behalf of inpatient providers. These automatically-generated notes save providers time, reduce coding queries, and have a dramatic impact to hospital finances.

Malnutrition is a common, complicated, and costly problem for hospitals. In the US, one in three patients admitted to the hospital has malnutrition — but <9% are diagnosed. Junum provides the tools needed to accurately diagnose malnutrition within your existing EHR workflows and improve revenue capture accordingly. 

The MalnutritionCDS™ solution is clinician-driven technology that integrates right into hospitals' existing EHR (Epic or Cerner) workflows and provides the tools needed for various clinical stakeholders to accurately chart, diagnose, and treat patients.This software allows physicians to quickly and accurately identify and treat malnourished patients and improves clinical workflows, saves physicians time, and drives hospital revenue. Our SMART on FHIR app integrates seamlessly into existing EHR workflows, giving clinicians easy access to the nutrition insights and evidence based guidelines they need to drive improved outcomes.

RiskVue™, comprised of over 500 hard coded algorithms based on evidence-based published gudielines developed by major medical associations, i.e., United States Preventive Services Task Force, American Heart Association, American Diabetes Association, etc., is powered by a large language model, developed with support from Harvard and Stanford professionals, and has a patent-pending for combined risk and symptom assessment and a new methodology for AI diagnosis,  

RiskVue™ has been awarded contracts by both the NCI/NIH and the NHS (UK), and is the world's most comprehensive risk and symptom assessment application based on family history, lifestyle, social determinants of health, frailty, smoking history, BMI, osteoporosis, vaccination history, preventive measure utilization, cognitive assessment, sexual activity, mental health, Medicare Annual Wellness Visit, etc.

RiskVue™ produces a differential diagnosis with an accuracy level surpassing the Mayo Clinic's own published results based on 50 real world case studies. Patient acceptance was validated and published by Stanford.

Healthcare organizations experience mid-cycle revenue leakage for a variety of reasons — from lack of CDI resources to inefficient query processes and beyond. AwareCDI is the only solution on the market that addresses the problem every step of the way, from admission through post-billing review.

It’s all made possible by CognitiveML, the industry’s most advanced and versatile AI engine. With the AwareCDI platform, healthcare organizations can:

• Maximize CDIS efficiency
• Capture more revenue
• Optimize allocation of resources
• Increase query creation & response rates
• Minimize denials & DNFB